{"id":"https://openalex.org/W2938450871","doi":"https://doi.org/10.1109/lgrs.2019.2912140","title":"CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation","display_name":"CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation","publication_year":2019,"publication_date":"2019-05-31","ids":{"openalex":"https://openalex.org/W2938450871","doi":"https://doi.org/10.1109/lgrs.2019.2912140","mag":"2938450871"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2019.2912140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2912140","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.07979","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011772990","display_name":"Soumyabrata Dev","orcid":"https://orcid.org/0000-0002-0153-1095"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Soumyabrata Dev","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin, Dublin 2, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-0153-1095","affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin, Dublin 2, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052673555","display_name":"Atul Nautiyal","orcid":null},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Atul Nautiyal","raw_affiliation_strings":["ADAPT SFI Research Centre, Trinity College Dublin, Dublin 2, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADAPT SFI Research Centre, Trinity College Dublin, Dublin 2, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057695668","display_name":"Yee Hui Lee","orcid":"https://orcid.org/0000-0001-6452-9606"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yee Hui Lee","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"raw_orcid":"https://orcid.org/0000-0001-6452-9606","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018017185","display_name":"Stefan Winkler","orcid":"https://orcid.org/0000-0003-4305-8408"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Stefan Winkler","raw_affiliation_strings":["AI Singapore and the School of Computing, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Singapore and the School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.755,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.95754139,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"16","issue":"12","first_page":"1814","last_page":"1818"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7573063373565674},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546871304512024},{"id":"https://openalex.org/keywords/sky","display_name":"Sky","score":0.6849665641784668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6844805479049683},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6690056920051575},{"id":"https://openalex.org/keywords/daytime","display_name":"Daytime","score":0.5970956683158875},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5860983729362488},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5608683824539185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4980959892272949},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4756871461868286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4480147063732147},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37332481145858765},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1632060408592224},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.13089436292648315},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11544090509414673}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7573063373565674},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546871304512024},{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.6849665641784668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6844805479049683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6690056920051575},{"id":"https://openalex.org/C162725370","wikidata":"https://www.wikidata.org/wiki/Q52643","display_name":"Daytime","level":2,"score":0.5970956683158875},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5860983729362488},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5608683824539185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4980959892272949},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4756871461868286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4480147063732147},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37332481145858765},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1632060408592224},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.13089436292648315},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11544090509414673},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2019.2912140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2019.2912140","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1904.07979","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07979","pdf_url":"https://arxiv.org/pdf/1904.07979","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1904.07979","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1904.07979","pdf_url":"https://arxiv.org/pdf/1904.07979","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W2031640526","https://openalex.org/W2040245781","https://openalex.org/W2062583931","https://openalex.org/W2098554604","https://openalex.org/W2104309782","https://openalex.org/W2142530961","https://openalex.org/W2159934032","https://openalex.org/W2194775991","https://openalex.org/W2385975312","https://openalex.org/W2414830503","https://openalex.org/W2491565242","https://openalex.org/W2547369604","https://openalex.org/W2560023338","https://openalex.org/W2783165089","https://openalex.org/W2889835342","https://openalex.org/W2962835968","https://openalex.org/W2962943321","https://openalex.org/W2963550242","https://openalex.org/W2963881378","https://openalex.org/W6637373629","https://openalex.org/W6683764722","https://openalex.org/W7036204928"],"related_works":["https://openalex.org/W3081293791","https://openalex.org/W2072650855","https://openalex.org/W3108670580","https://openalex.org/W1986730386","https://openalex.org/W2043317507","https://openalex.org/W82438832","https://openalex.org/W2050937832","https://openalex.org/W124567884","https://openalex.org/W2035239275","https://openalex.org/W1522196789"],"abstract_inverted_index":{"We":[0],"analyze":[1],"clouds":[2,15],"in":[3,16,63,94],"the":[4,17,25,39,46,81],"earth's":[5],"atmosphere":[6],"using":[7],"ground-based":[8],"sky":[9],"cameras.":[10],"An":[11],"accurate":[12],"segmentation":[13,93],"of":[14,28,51,61],"captured":[18],"sky/cloud":[19],"image":[20,64,92],"is":[21,56,80],"difficult,":[22],"owing":[23],"to":[24],"fuzzy":[26],"boundaries":[27],"clouds.":[29],"Several":[30],"techniques":[31],"have":[32],"been":[33],"proposed,":[34],"which":[35],"use":[36],"color":[37],"as":[38,90],"discriminatory":[40],"feature":[41],"for":[42],"cloud":[43],"detection.":[44],"In":[45,68],"existing":[47],"literature,":[48],"however,":[49],"analysis":[50],"daytime":[52,85],"and":[53,66,86,98],"nighttime":[54,87],"images":[55],"considered":[57],"separately,":[58],"mainly":[59],"because":[60],"differences":[62],"characteristics":[65],"applications.":[67],"this":[69],"letter,":[70],"we":[71],"propose":[72],"a":[73,95],"lightweight":[74],"deep-learning":[75],"architecture":[76],"called":[77],"CloudSegNet.":[78],"It":[79],"first":[82],"that":[83],"integrates":[84],"(also":[88],"known":[89],"nychthemeron)":[91],"single":[96],"framework":[97],"achieves":[99],"state-of-the-art":[100],"results":[101],"on":[102],"public":[103],"databases.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}